The influence of neighborhood environment on the incidence of childhood asthma: A propensity score approach
Background The propensity score method has been underused in research concerning asthma epidemiology, which is useful for addressing covariate imbalance in observational studies. Objective To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method....
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| creator | Juhn, Young J., MD, MPH Qin, Rui, PhD Urm, Sanghwa, MD, PhD Katusic, Slavica, MD Vargas-Chanes, Delfino, PhD |
| description | Background The propensity score method has been underused in research concerning asthma epidemiology, which is useful for addressing covariate imbalance in observational studies. Objective To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method. Methods The study was designed as a retrospective cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1979. Asthma status was previously determined by applying predetermined criteria. We applied the propensity score method to match children who lived in census tracts facing or not facing intersections with major highways or railroads. The propensity score of children living in a census tract facing intersections was formulated from a logistic regression model with 16 variables that may not be balanced between comparison groups. The Cox proportional hazard models were used in the matched samples to estimate hazard ratios of neighborhood environment and some other variables of interest and their corresponding 95% CIs. Results After matching with propensity scores, we found that children who lived in census tracts facing intersections with major highways or railroads had a higher risk of asthma (hazard ratios, 1.385-1.669 depending on the matching methods) compared with the matched counterparts who lived in census tracts not facing intersections with major highways or railroads. Conclusion Neighborhood environment may be an important risk factor in understanding the development of pediatric asthma. The propensity score method is a useful tool in addressing covariate imbalance and exploring for causal effect in studying asthma epidemiology. |
| doi_str_mv | 10.1016/j.jaci.2009.12.998 |
| format | Article |
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Objective To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method. Methods The study was designed as a retrospective cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1979. Asthma status was previously determined by applying predetermined criteria. We applied the propensity score method to match children who lived in census tracts facing or not facing intersections with major highways or railroads. The propensity score of children living in a census tract facing intersections was formulated from a logistic regression model with 16 variables that may not be balanced between comparison groups. The Cox proportional hazard models were used in the matched samples to estimate hazard ratios of neighborhood environment and some other variables of interest and their corresponding 95% CIs. Results After matching with propensity scores, we found that children who lived in census tracts facing intersections with major highways or railroads had a higher risk of asthma (hazard ratios, 1.385-1.669 depending on the matching methods) compared with the matched counterparts who lived in census tracts not facing intersections with major highways or railroads. Conclusion Neighborhood environment may be an important risk factor in understanding the development of pediatric asthma. The propensity score method is a useful tool in addressing covariate imbalance and exploring for causal effect in studying asthma epidemiology.</description><identifier>ISSN: 0091-6749</identifier><identifier>ISSN: 1097-6825</identifier><identifier>EISSN: 1097-6825</identifier><identifier>DOI: 10.1016/j.jaci.2009.12.998</identifier><identifier>PMID: 20236695</identifier><identifier>CODEN: JACIBY</identifier><language>eng</language><publisher>New York, NY: Mosby, Inc</publisher><subject>Allergy and Immunology ; Asthma - epidemiology ; Asthma - physiopathology ; Biological and medical sciences ; Censuses ; Child ; Child, Preschool ; Chronic obstructive pulmonary disease, asthma ; Cohort Studies ; Econometrics ; Environment ; Epidemiology ; Female ; Fundamental and applied biological sciences. Psychology ; Fundamental immunology ; Humans ; Immunopathology ; Incidence ; Infant ; Infant, Newborn ; Male ; Medical sciences ; Methods ; Neighborhood ; Neighborhoods ; New York - epidemiology ; pediatric asthma ; Pneumology ; Propensity Score ; Railroads ; Residence Characteristics ; Roads & highways ; Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis ; Social Class ; socioeconomic status ; Studies</subject><ispartof>Journal of allergy and clinical immunology, 2010-04, Vol.125 (4), p.838-843.e2</ispartof><rights>American Academy of Allergy, Asthma & Immunology</rights><rights>2010 American Academy of Allergy, Asthma & Immunology</rights><rights>2015 INIST-CNRS</rights><rights>Copyright (c) 2010 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Apr 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c665t-fa2cc792b4db12267d09491b0785c8dc87d8c6289cb78301ac9b7c60be76eb6a3</citedby><cites>FETCH-LOGICAL-c665t-fa2cc792b4db12267d09491b0785c8dc87d8c6289cb78301ac9b7c60be76eb6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jaci.2009.12.998$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22650031$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20236695$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Juhn, Young J., MD, MPH</creatorcontrib><creatorcontrib>Qin, Rui, PhD</creatorcontrib><creatorcontrib>Urm, Sanghwa, MD, PhD</creatorcontrib><creatorcontrib>Katusic, Slavica, MD</creatorcontrib><creatorcontrib>Vargas-Chanes, Delfino, PhD</creatorcontrib><title>The influence of neighborhood environment on the incidence of childhood asthma: A propensity score approach</title><title>Journal of allergy and clinical immunology</title><addtitle>J Allergy Clin Immunol</addtitle><description>Background The propensity score method has been underused in research concerning asthma epidemiology, which is useful for addressing covariate imbalance in observational studies. Objective To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method. Methods The study was designed as a retrospective cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1979. Asthma status was previously determined by applying predetermined criteria. We applied the propensity score method to match children who lived in census tracts facing or not facing intersections with major highways or railroads. The propensity score of children living in a census tract facing intersections was formulated from a logistic regression model with 16 variables that may not be balanced between comparison groups. The Cox proportional hazard models were used in the matched samples to estimate hazard ratios of neighborhood environment and some other variables of interest and their corresponding 95% CIs. Results After matching with propensity scores, we found that children who lived in census tracts facing intersections with major highways or railroads had a higher risk of asthma (hazard ratios, 1.385-1.669 depending on the matching methods) compared with the matched counterparts who lived in census tracts not facing intersections with major highways or railroads. Conclusion Neighborhood environment may be an important risk factor in understanding the development of pediatric asthma. The propensity score method is a useful tool in addressing covariate imbalance and exploring for causal effect in studying asthma epidemiology.</description><subject>Allergy and Immunology</subject><subject>Asthma - epidemiology</subject><subject>Asthma - physiopathology</subject><subject>Biological and medical sciences</subject><subject>Censuses</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Chronic obstructive pulmonary disease, asthma</subject><subject>Cohort Studies</subject><subject>Econometrics</subject><subject>Environment</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fundamental immunology</subject><subject>Humans</subject><subject>Immunopathology</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Methods</subject><subject>Neighborhood</subject><subject>Neighborhoods</subject><subject>New York - epidemiology</subject><subject>pediatric asthma</subject><subject>Pneumology</subject><subject>Propensity Score</subject><subject>Railroads</subject><subject>Residence Characteristics</subject><subject>Roads & highways</subject><subject>Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis</subject><subject>Social Class</subject><subject>socioeconomic status</subject><subject>Studies</subject><issn>0091-6749</issn><issn>1097-6825</issn><issn>1097-6825</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkstu1DAUQCMEokPhB1igSAixmmA7iR-oqlRVLSBVYkFZW87NTeM0Yw92ZqT5e5zOtIUuYGXZPvdhn5tlbykpKKH801AMBmzBCFEFZYVS8lm2oESJJZesfp4t0gVdclGpo-xVjANJ-1Kql9kRI6zkXNWL7Pa6x9y6btygA8x9lzu0N33jQ-99m6Pb2uDdCt2Ue5dPdzDY9h6G3o7tHWni1K_M5_wsXwe_RhfttMsj-IC5WacjA_3r7EVnxohvDutx9vPy4vr86_Lq-5dv52dXS-C8npadYQBCsaZqG8oYFy1RlaINEbIG2YIUrQTOpIJGyJJQA6oRwEmDgmPDTXmcne7zrjfNCltIzQcz6nWwKxN22hur_75xttc3fquZ4oxTkRJ8PCQI_tcG46RXNgKOo3HoN1GLihNJZMX_T5al5FXF60S-f0IOfhNc-gdNa1JJKgWbK7M9BcHHGLB76JoSPUvXg56l61m6pkwn6Sno3Z_vfQi5t5yADwfARDBjF0xyGB85xmtCSpq4kz2Hyc7WYtAR7Ky6tQFh0q23_-7j9Ek4jNbZVPEWdxgf36sj00T_mMdznk6aBjP9QF3-BtLl4P0</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Juhn, Young J., MD, MPH</creator><creator>Qin, Rui, PhD</creator><creator>Urm, Sanghwa, MD, PhD</creator><creator>Katusic, Slavica, MD</creator><creator>Vargas-Chanes, Delfino, PhD</creator><general>Mosby, Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SS</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20100401</creationdate><title>The influence of neighborhood environment on the incidence of childhood asthma: A propensity score approach</title><author>Juhn, Young J., MD, MPH ; Qin, Rui, PhD ; Urm, Sanghwa, MD, PhD ; Katusic, Slavica, MD ; Vargas-Chanes, Delfino, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c665t-fa2cc792b4db12267d09491b0785c8dc87d8c6289cb78301ac9b7c60be76eb6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Allergy and Immunology</topic><topic>Asthma - epidemiology</topic><topic>Asthma - physiopathology</topic><topic>Biological and medical sciences</topic><topic>Censuses</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Chronic obstructive pulmonary disease, asthma</topic><topic>Cohort Studies</topic><topic>Econometrics</topic><topic>Environment</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fundamental immunology</topic><topic>Humans</topic><topic>Immunopathology</topic><topic>Incidence</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Methods</topic><topic>Neighborhood</topic><topic>Neighborhoods</topic><topic>New York - epidemiology</topic><topic>pediatric asthma</topic><topic>Pneumology</topic><topic>Propensity Score</topic><topic>Railroads</topic><topic>Residence Characteristics</topic><topic>Roads & highways</topic><topic>Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis</topic><topic>Social Class</topic><topic>socioeconomic status</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juhn, Young J., MD, MPH</creatorcontrib><creatorcontrib>Qin, Rui, PhD</creatorcontrib><creatorcontrib>Urm, Sanghwa, MD, PhD</creatorcontrib><creatorcontrib>Katusic, Slavica, MD</creatorcontrib><creatorcontrib>Vargas-Chanes, Delfino, PhD</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of allergy and clinical immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juhn, Young J., MD, MPH</au><au>Qin, Rui, PhD</au><au>Urm, Sanghwa, MD, PhD</au><au>Katusic, Slavica, MD</au><au>Vargas-Chanes, Delfino, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence of neighborhood environment on the incidence of childhood asthma: A propensity score approach</atitle><jtitle>Journal of allergy and clinical immunology</jtitle><addtitle>J Allergy Clin Immunol</addtitle><date>2010-04-01</date><risdate>2010</risdate><volume>125</volume><issue>4</issue><spage>838</spage><epage>843.e2</epage><pages>838-843.e2</pages><issn>0091-6749</issn><issn>1097-6825</issn><eissn>1097-6825</eissn><coden>JACIBY</coden><abstract>Background The propensity score method has been underused in research concerning asthma epidemiology, which is useful for addressing covariate imbalance in observational studies. Objective To examine the impact of neighborhood environment on asthma incidence by applying the propensity score method. Methods The study was designed as a retrospective cohort study. Study subjects were all children born in Rochester, Minn, between 1976 and 1979. Asthma status was previously determined by applying predetermined criteria. We applied the propensity score method to match children who lived in census tracts facing or not facing intersections with major highways or railroads. The propensity score of children living in a census tract facing intersections was formulated from a logistic regression model with 16 variables that may not be balanced between comparison groups. The Cox proportional hazard models were used in the matched samples to estimate hazard ratios of neighborhood environment and some other variables of interest and their corresponding 95% CIs. Results After matching with propensity scores, we found that children who lived in census tracts facing intersections with major highways or railroads had a higher risk of asthma (hazard ratios, 1.385-1.669 depending on the matching methods) compared with the matched counterparts who lived in census tracts not facing intersections with major highways or railroads. Conclusion Neighborhood environment may be an important risk factor in understanding the development of pediatric asthma. The propensity score method is a useful tool in addressing covariate imbalance and exploring for causal effect in studying asthma epidemiology.</abstract><cop>New York, NY</cop><pub>Mosby, Inc</pub><pmid>20236695</pmid><doi>10.1016/j.jaci.2009.12.998</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Allergy and Immunology Asthma - epidemiology Asthma - physiopathology Biological and medical sciences Censuses Child Child, Preschool Chronic obstructive pulmonary disease, asthma Cohort Studies Econometrics Environment Epidemiology Female Fundamental and applied biological sciences. Psychology Fundamental immunology Humans Immunopathology Incidence Infant Infant, Newborn Male Medical sciences Methods Neighborhood Neighborhoods New York - epidemiology pediatric asthma Pneumology Propensity Score Railroads Residence Characteristics Roads & highways Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis Social Class socioeconomic status Studies |
| title | The influence of neighborhood environment on the incidence of childhood asthma: A propensity score approach |
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